Parkinson's disease (PD) is a prominent neurodegenerative disease that damages the
neurons of the substantia nigra, causing irreversible impairments leading to involuntary …

The use of current data management technologies for the Internet of Things (IoT) is not
straightforward due to interface heterogeneity, highly complex and potentially unprotected …

Combinatorial optimisation problems are known as unpredictable and challenging due to
their nature and complexity. One way to reduce the unpredictability of such problems is to …

Brain computer interfaces are important for different application domain such as medical,
natural interfaces and entertainment. Besides the difficulty of gathering data from the human …

Abstract Software Defined Network (SDN) offers virtualized services compatible with
infrastructure hosted computing, presenting a flexible, adaptive, and economical network …

Exploring search spaces is one of the most unpredictable challenges that has attracted the
interest of researchers for decades. One way to handle unpredictability is to characterise the …

A well-known method for lowering the dimensionality of datasets with unnecessary and
redundant features is feature selection. Over the years, a variety of techniques and …

Skin cancer is one of the most common types of cancer in the world. If skin cancer is not
treated early, it also affects the diseased area under the skin and this threatens the treatment …

• This chapter presents a detailed and analytical overview of the significance of optimization
in data management, and in feature selection problem. It analyze the theoretical background …

Veri madenciliği ve makine öğrenmesi alanında özellik seçimi boyut indirgemek amacıyla
yapılmaktadır. Bu sayede makine öğrenmesi yöntemleri ile işlenen veriler üzerinde hem …